%0 Conference Paper
%F Oral 
%T Possibility theory and possibilistic logic: Tools for reasoning under and about incomplete information
%+ Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA)
%+ Centre National de la Recherche Scientifique (CNRS)
%A Dubois, Didier
%A Prade, Henri
%< avec comité de lecture
%3 ICIS 2021: Intelligence Science III ; ISBN : 978-3-030-74825-8
%B 4th IFIP International Conference on Intelligence Science - TC 12: Artificial Intelligence (ICIS 2021)
%C Durgapur (virtual), India
%I Springer
%S IFIP Advances in Information and Communication Technology book series (IFIPAICT)
%V 623
%P 79-89
%8 2021-02-24
%D 2021
%R 10.1007/978-3-030-74826-5_7
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]Conference papers
%X This brief overview provides a quick survey of qualitative possibility theory and possibilistic logic along with their applications to various forms of epistemic reasoning under and about incomplete information. It is highlighted that this formalism has the potential of relating various independently introduced logics for epistemic reasoning.
%G English
%2 https://hal.science/hal-03222778/document
%2 https://hal.science/hal-03222778/file/DubPraICIS20.pdf
%L hal-03222778
%U https://hal.science/hal-03222778
%~ UNIV-TLSE2
%~ UNIV-TLSE3
%~ CNRS
%~ SMS
%~ UT1-CAPITOLE
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-ICIS
%~ IRIT
%~ IRIT-ADRIA
%~ IRIT-IA
%~ TOULOUSE-INP
%~ UNIV-UT3
%~ UT3-INP
%~ IFIP-AICT-623
%~ UT3-TOULOUSEINP